Surface electromyography (EMG) is a widely used, straight-forward, technique which allows
to investigate patterns of neuromuscular activation. In contrast to the relative simplicity of the …

In this manuscript, eight hand motions were classified using ten different extracted features
from sEMG signals. These signals were collected from four different muscles placed on the …

The cardiovascular system has been observed to respond to changes in human posture and
the environment. On the same lines, frequent fallers have been observed to suffer from …

In this research, we apply complexity-based techniques to study the activations of the brain
while the subjects perform different types of locomotion, including walking, jogging, and …

An upper limb amputation is a traumatic event that can seriously affect the person's capacity
to perform regular tasks and can lead individuals to lose their confidence and autonomy …

Las señales Electromiográficas Superficiales (EMGS) son fuente de información muy
apropiada para el control de dispositivos virtuales como las prótesis de mano. Las razones …

A surface electromyographic (sEMG) signal includes important information on muscular
activity and was recently widely used as an input signal in a myoelectric control system. In …

A network of spinal neurons known as central pattern generator (CPG) produces the
rhythmic motor patterns required for coordinated swimming, walking, and running in …

In this research, we investigated the effect of changes in walking speed on variations of the
complexity of electromyogram (EMG) signals recorded from the right and left legs of …

Background Continuous and discrete wavelet transforms have been established as valid
tools to analyze non-stationary and transient signals over Fourier domain methods …